# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
run sess.
return.
"""
import npu_bridge.npu_init
import tensorflow as tf

with tf.device('/cpu:0'):
    a = tf.constant([1.0, 2.0, 3.0], shape=[3], name='a')

    b = tf.constant([1.0, 2.0, 3.0], shape=[3], name='b')
with tf.device('/cpu:0'):
    c = a + b
print(c)
sess = tf.Session(config=npu_config_proto(config_proto=\
    tf.ConfigProto(allow_soft_placement=True, log_device_placement=True)))
sess.run(tf.global_variables_initializer())
print(sess.run(c))

